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QUESTION
I am trying to write a Functor instance:
...ANSWER
Answered 2022-Feb-19 at 11:33Your parentN
has a list of TreeN
s, so you need to perform a mapping over all children:
QUESTION
As can be seen in official documents there is layout named SubcomposeLayout defined as
Analogue of Layout which allows to subcompose the actual content during the measuring stage for example to use the values calculated during the measurement as params for the composition of the children.
Possible use cases:
You need to know the constraints passed by the parent during the composition and can't solve your use case with just custom Layout or LayoutModifier. See androidx.compose.foundation.layout.BoxWithConstraints.
You want to use the size of one child during the composition of the second child.
You want to compose your items lazily based on the available size. For example you have a list of 100 items and instead of composing all of them you only compose the ones which are currently visible(say 5 of them) and compose next items when the component is scrolled.
I searched Stackoverflow with SubcomposeLayout
keyword but couldn't find anything about it, created this sample code, copied most of it from official document, to test and learn how it works
ANSWER
Answered 2021-Oct-21 at 17:16It's supposed to re-measure a component based on another component size...
SubcomposeLayout
doesn't remeasure. It allows deferring the composition and measure of content until its constraints from its parent are known and some its content can be measured, the results from which and can be passed as a parameter to the deferred content. The above example calculates the maximum size of the content generated by mainContent
and passes it as a parameter to deferredContent
. It then measures deferredContent
and places both mainContent
and deferredContent
on top of each other.
The simplest example of how to use SubcomposeLayout
is BoxWithConstraints that just passes the constraints it receives from its parent directly to its content. The constraints of the box are not known until the siblings of the box have been measured by the parent which occurs during layout so the composition of content
is deferred until layout.
Similarly, for the example above, the maxSize
of mainContent
is not known until layout so deferredContent
is called in layout once maxSize
is calculated. It always places deferredContent
on top of mainContent
so it is assumed that deferredContent
uses maxSize
in some way to avoid obscuring the content generated by mainContent
. Probably not the best design for a composable but the composable was intended to be illustrative not useful itself.
Note that subcompose
can be called multiple times in the layout
block. This is, for example, what happens in LazyRow
. The slotId
allows SubcomposeLayout
to track and manage the compositions created by calling subcompose
. For example, if you are generating the content from an array you might want use the index of the array as its slotId
allowing SubcomposeLayout
to determine which subcompose
generated last time should be used to during recomposition. Also, if a slotid
is not used any more, SubcomposeLayout
will dispose its corresponding composition.
As for where the slotId
goes, that is up to the caller of SubcomposeLayout
. If the content needs it, pass it as a parameter. The above example doesn't need it as the slotId
is always the same for deferredContent
so it doesn't need to go anywhere.
QUESTION
I have the following simplified program that works fine:
...ANSWER
Answered 2021-Dec-12 at 22:51First, let's rename the type variables just so they're easier to talk about, and remove parts of the program that don't matter for this error:
QUESTION
So I have an app which displays movies with Movie API and multiple buttons, which show movies of particular genre. So when I click on multiple of such buttons, they all add together in the query, like in the example below:
...ANSWER
Answered 2021-Nov-22 at 13:38I don't think there's a one-method way to do it. You have to:
- Get all the current values (
getAll
) - Remove the key entirely
- Add back the values you want to keep
Here's an example:
QUESTION
I have a stylesheet, which is essentially the following:
...ANSWER
Answered 2021-Nov-26 at 21:38Do you have this in the head
QUESTION
In short:
I have implemented a simple (multi-key) hash table with buckets (containing several elements) that exactly fit a cacheline. Inserting into a cacheline bucket is very simple, and the critical part of the main loop.
I have implemented three versions that produce the same outcome and should behave the same.
The mystery
However, I'm seeing wild performance differences by a surprisingly large factor 3, despite all versions having the exact same cacheline access pattern and resulting in identical hash table data.
The best implementation insert_ok
suffers around a factor 3 slow down compared to insert_bad
& insert_alt
on my CPU (i7-7700HQ).
One variant insert_bad is a simple modification of insert_ok
that adds an extra unnecessary linear search within the cacheline to find the position to write to (which it already knows) and does not suffer this x3 slow down.
The exact same executable shows insert_ok
a factor 1.6 faster compared to insert_bad
& insert_alt
on other CPUs (AMD 5950X (Zen 3), Intel i7-11800H (Tiger Lake)).
ANSWER
Answered 2021-Oct-25 at 22:53The TLDR is that loads which miss all levels of the TLB (and so require a page walk) and which are separated by address unknown stores can't execute in parallel, i.e., the loads are serialized and the memory level parallelism (MLP) factor is capped at 1. Effectively, the stores fence the loads, much as lfence
would.
The slow version of your insert function results in this scenario, while the other two don't (the store address is known). For large region sizes the memory access pattern dominates, and the performance is almost directly related to the MLP: the fast versions can overlap load misses and get an MLP of about 3, resulting in a 3x speedup (and the narrower reproduction case we discuss below can show more than a 10x difference on Skylake).
The underlying reason seems to be that the Skylake processor tries to maintain page-table coherence, which is not required by the specification but can work around bugs in software.
The DetailsFor those who are interested, we'll dig into the details of what's going on.
I could reproduce the problem immediately on my Skylake i7-6700HQ machine, and by stripping out extraneous parts we can reduce the original hash insert benchmark to this simple loop, which exhibits the same issue:
QUESTION
First, I thought firebase functions were broken. Then, I tried to make a simple function that returns Promise. I put that to top-level index.js.
...ANSWER
Answered 2021-Sep-08 at 11:59It seems that setting inlineRequires
to false inside the metro.config.js
file resolves the issue.
QUESTION
I have a "flashing" script being loaded into a Uboot, on an iMX6, from a host PC via sdp. The script has been run through mkimage
, so it has an image header. Here's the mkimage command:
ANSWER
Answered 2021-Sep-15 at 01:55What am I doing wrong?
U-Boot almost always assumes hexadecimal values for command arguments, so using the 0x...
prefix is actually superfluous. AFAIK there is no way to input decimal values.
QUESTION
I've been studying the memory model and saw this (quote from https://research.swtch.com/hwmm):
...ANSWER
Answered 2021-Sep-11 at 08:47It makes some sense to call StoreLoad reordering an effect of the store buffer because the way to prevent it is with mfence
or a lock
ed instruction that drains the store buffer before later loads are allowed to read from cache. Merely serializing execution (with lfence
) would not be sufficient, because the store buffer still exists. Note that even sfence ; lfence
isn't sufficient.
Also I assume P5 Pentium (in-order dual-issue) has a store buffer, so SMP systems based on it could have this effect, in which case it would definitely be due to the store buffer. IDK how thoroughly the x86 memory model was documented in the early days before PPro even existed, but any naming of litmus tests done before that might well reflect in-order assumptions. (And naming after might include still-existing in-order systems.)
You can't tell which effect caused StoreLoad reordering. It's possible on a real x86 CPU (with a store buffer) for a later load to execute before the store has even written its address and data to the store buffer.
And yes, executing a store just means writing to the store buffer; it can't commit from the SB to L1d cache and become visible to other cores until after the store retires from the ROB (and thus is known to be non-speculative).
(Retirement happens in-order to support "precise exceptions". Otherwise, chaos ensues and discovering a mis-predict might mean rolling back the state of other cores, i.e. a design that's not sane. Can a speculatively executed CPU branch contain opcodes that access RAM? explains why a store buffer is necessary for OoO exec in general.)
I can't think of any detectable side-effect of the load uop executing before the store-data and/or store-address uops, or before the store retires, rather than after the store retires but before it commits to L1d cache.
You could force the latter case by putting an lfence
between the store and the load, so the reordering is definitely caused by the store buffer. (A stronger barrier like mfence, a locked instruction, or a serializing instruction like cpuid
, will all block the reordering entirely by draining the store buffer before the later load can execute. As an implementation detail, before it can even issue.)
A normal out of order exec treats all instructions as speculative, only becoming non-speculative when they retire from the ROB, which is done in program order to support precise exceptions. (See Out-of-order execution vs. speculative execution for a more in-depth exploration of that idea, in the context of Intel's Meltdown vulnerability.)
A hypothetical design with OoO exec but no store buffer would be possible. It would perform terribly, with each store having to wait for all previous instructions to be definitively known to not fault or otherwise be mispredicted / mis-speculated before the store can be allowed to execute.
This is not quite the same thing as saying that they need to have already executed, though (e.g. just executing the store-address uop of an earlier store would be enough to know it's non-faulting, or for a load doing the TLB/page-table checks will tell you it's non-faulting even if the data hasn't arrived yet). However, every branch instruction would need to be already executed (and known-correct), as would every ALU instruction like div
that can.
Such a CPU also doesn't need to stop later loads from running before stores. A speculative load has no architectural effect / visibility, so it's ok if other cores see a share-request for a cache line which was the result of a mis-speculation. (On a memory region whose semantics allow that, such as normal WB write-back cacheable memory). That's why HW prefetching and speculative execution work in normal CPUs.
The memory model even allows StoreLoad ordering, so we're not speculating on memory ordering, only on the store (and other intervening instructions) not faulting. Which again is fine; speculative loads are always fine, it's speculative stores that we must not let other cores see. (So we can't do them at all if we don't have a store buffer or some other mechanism.)
(Fun fact: real x86 CPUs do speculate on memory ordering by doing loads out of order with each other, depending on addresses being ready or not, and on cache hit/miss. This can lead to memory order mis-speculation "machine clears" aka pipeline nukes (machine_clears.memory_ordering
perf event) if another core wrote to a cache line between when it was actually read and the earliest the memory model said we could. Or even if we guess wrong about whether a load is going to reload something stored recently or not; memory disambiguation when addresses aren't ready yet involves dynamic prediction so you can provoke machine_clears.memory_ordering
with single-threaded code.)
Out-of-order exec in P6 didn't introduce any new kinds of memory re-ordering because that could have broken existing multi-threaded binaries. (At that time mostly just OS kernels, I'd guess!) That's why early loads have to be speculative if done at all. x86's main reason for existence it backwards compat; back then it wasn't the performance king.
Re: why this litmus test exists at all, if that's what you mean?
Obviously to highlight something that can happen on x86.
Is StoreLoad reordering important? Usually it's not a problem; acquire / release synchronization is sufficient for most inter-thread communication about a buffer being ready to read, or more generally a lock-free queue. Or to implement mutexes. ISO C++ only guarantees that mutexes lock / unlock are acquire and release operations, not seq_cst.
It's pretty rare that an algorithm depends on draining the store buffer before a later load.
Say I somehow observed this litmus test on an x86 machine,
Fully working program that verifies that this reordering is possible in real life on real x86 CPUs: https://preshing.com/20120515/memory-reordering-caught-in-the-act/. (The rest of Preshing's articles on memory ordering are also excellent. Great for getting a conceptual understanding of inter-thread communication via lockless operations.)
QUESTION
I have been reading Hadley Wickham's Advanced R in order to gain a better understanding of the mechanisms of R and how it works behind the scene. I have so far enjoyed it and everything is quite clear. There is one question that occupies my mind for which I have not yet found an explanation. I am quite familiar with the scoping rules of R which determine how values are assigned to FREE VARIABLES. However, I have been grappling with the question of why R cannot find the value of a formal argument through lexical scoping in the first case. Consider the following example:
...ANSWER
Answered 2021-Sep-09 at 22:32Note that R will only throw the error when you go to use the variable. if you had
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